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Gideon Ofosu KyereGK
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Gideon Ofosu Kyere

@gideonofosukyere

Aspiring data scientist and lecturer focused on forecasting and predictive modeling.

Ghana
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What I'm looking for

I’m looking for a Data Scientist role where I can apply Python, R, and SQL to forecasting and predictive modelling, work on Bayesian-hierarchical modelling and Machine Learning, and grow through mentorship while continuing my teaching-focused career.

I’m an aspiring Data Scientist and Lecturer with a Statistics background, building my skills in Python, R, and SQL for data analysis and predictive modelling. I enjoy turning real-world data into forecasts and decisions that hold up under scrutiny.

As a Teaching Assistant at Kwame Nkrumah University of Science and Technology, I strengthen my ability to explain concepts clearly and support learning through practice. I also bring public speaking and structured communication to every learning environment.

During my internship at the Ghana Meteorological Agency, I assisted with forecasts and the review of weather reports for maritime and coastal areas, supporting the issuance of weather forecasts while ensuring compliance with company policies and regulations. I’m especially interested in Bayesian-hierarchical modelling and Machine Learning, and I’m eager to apply them to forecasting-focused analytics and modelling.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Kwame Nkrumah University of Science and Technology logoKT

Kwame Nkrumah University of Science and Technology

Bachelor's degree, Statistics

2022 - 2025

Began a Bachelor's degree in Statistics at Kwame Nkrumah University of Science and Technology in January 2022 and completed it in September 2025.

PS

Pope John Senior High School and Minor Seminary

General Science

2018 - 2021

Studied General Science at Pope John Senior High School and Minor Seminary from November 2018 to November 2021.

WU

WorldQuant University

Applied Data Science Lab, Statistics

2025 -

Participated in WorldQuant University's Applied Data Science Lab in Statistics in November 2025.

Tech stack

Software and tools used professionally

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